class_docstr: Performs a Shifter softplus loss, which modifies with a value of log(2)
code: def __init__(self):
      super(Shifted_softplus, self).__init__()
      self.act = nn.Softplus()
      self.shift = nn.Parameter(torch.tensor([0.69310]), False)
  
imports: import torch
  import torch.nn
  from deepchem.models.torch_models.torch_model import TorchModel
  from deepchem.models.losses import L2Loss
label_desc: Use image node_id 1 to create a new Shifted_softplus object from inherited base classes: nn with example: obj = Shifted_softplus()